074:150 Medical Imaging and Radiology Informatics, Fall 2011
Time & Place: If you are the University of Iowa students who register this course, please login on Iowa Courses Online (ICON) (icon.uiowa.edu) using your hawkeye ID. You can access interactive lecture talks and relevant lecture materials. Important links :: 074:150 Course Web Site (this) :: ICON (Iowa Course On Line) :: ISIS (registration) :: OSIRIS (Instructor Use only) :: :: Hawkeye Radiology Informatics: one of medical imaging informatics projects in Medical Imaging HPC & Informatics Lab :: :: Radiation Science Program :: Radiology :: College of Medicine :: University of Iowa :: Class Lecture Notes: Additional notes, handouts, and assigned reading materials may be available online at ICON or through the instructor's email. Course Description: This course addresses the issues in the informatics used in medical imaging and radiology. Through this course learning, students will learn the basic concepts, principles, terminology, and technology in medical imaging informatics, which includes PACS system's operation, design, and implementation, digitalization and acquisition of medical images, clinic use in radiological sciences, current research and development of technologies in radiological modalities, the state-of-the-art of medical image processing, and image compression, storage, achieving, retrieving, image data formation and conversion, image data communications and network, image process workflow, image data visualization and display, system integrations in health, hospital, radiological information systems, relationship between medical imaging informatics, and cutting edge technology in computer and information science, web application/services based telemedicine and teleradiology, image date consistency and fault-tolerance in PACS, system and data security, clinic implementation and experience, data mining and decision making systems, education and training systems, enterprise systems in medical and health sciences. The course is designed for medical clinic and research fellows, residents, students in informatics, pre-medical students, and professionals in health and hospital sciences. Pre-requisites: None Instructor: Dr Jun Ni, PhD, Associate Professor Department of Radiology, Carver College of Medicine Department of Biomedical Engineering; Department of Mechanical & Industrial Engineering, College of Engineering Department of Computer Science, College of Liberal Arts The University of Iowa, Iowa City, IA, USA Tel: (319) 335-9490; E-mail: jun-ni@uiowaedu Place: Online (UI-ICON and Course Web site) Course Contents and Notes: Part I: Fundamental Medical Imaging Informatics I. Information Science and Information Technology 1.1 Computer Science 1.2 Computer Technology 1.3 Information Technology 1.4 Information Science II. Digital Biomedicine/Medicine and and Healthcare Information Technology 2.1 Introduction to Biomedicine and Medicine 2.2 Digitalization in Biomedicine and Medicine 2.3 Healthcare Information Technology (HIT) III. Informatics 3.1 Basic of Informatics 3.2 Biomedical/Medical Informatics IV. Ontological Description in Medical Imaging Informatics 4.1 Medical Information Expression, Processing, and Representation 4.2 Ontological Data Entity Classification and Abstraction 4.3 Ontological Domain Mapping, Modeling, and Data Structure 4.4 Ontological Description of Terminology in Medical Imaging Informatics V. Medical Image Data 5.1 Medical Image, Image Qaulity, and Data Formats 5.2 Medical Imaging Modalities 5.3 Medical Image Digitalization and Aquisition Gateway VI. Workflow in Radiology (March 2-March 9, 2011) 6.1 Genetic Workflow in Radiology and PACS Workflow 6.2 Integrating the HealthCare Enterprise Workflow Model 6.3 Key Steps Radiology Workflow and Its Analysis VII. Integration, Standards and Interoperability 7.1 Integration Challenges and General IT Standards 7.2 IT Standards Imaging and Internet Standards 7.3 DICOM Standards 7.3 HL7 Standards 7.4 Interoperability and IHE standards VIII. Basic Medical Image Processing and Analysis 8.1 Quality Evaluation 8.2 Statistical Analysis and Information Entropy 8.3 Coding and Decoding 8.4 Stable and Unstable Signal Processing 8.5 Transformations IX. Pre-Medical Image Processing 9.1 Image Reconstruction 9.3 Background Removal 9.4 Noise Removal 9.5 Image Compression X. Post-Medical Image Processing 10.1 Filtering 10.2 Contraction and Enhancement 10.3 Registration 10.4 Classification, Texturing, and Segregation XI. Medical Image Displaying, Visualization, and Representation 11.1 Image Displaying 11.2 Display Workstations and Other Tools 11.3 2D and 3D Displaying Algorithms 11.4 3D Volume Rendering and Ray-Tracing 11.5 Virtual Reality Technology XIII. Medical Image Distribution, Networks and Communications 12.1 Network Architecture Topology and Protocols 12.2 Network Structure and System Components 12.3 Medical Image Data Transfers 12.4 Internet Services 12.5 Web Applications, Web Services, and Client/Server Distributed Computing 12.6 Enterprise Computing for Medical Imaging Informatics XIIII: Open Architectures in Medical Imaging Informatics 13.1 Enterprise Radiology Information System Architecture (eRIS) 13.2 Enterprise Health Care Information System (eHIS) 13.3 PACS Generic Architecture 13.4 PACS Strategic Planning 13.5 Internet-based, Large-scale PACS System 13.6 Open Architecture Layers of Medical Image Informatics System 13.7 Medical Image Workflow and MII-Open System Architecture 13.8 Open Enterprise Radiology Information System Architecture (OeRIS) 13.9 PACS-RIS-HIS Relationships 13.10 Global RIS, Teleradigraphy, and Lagre-scale Healthcare Information System XIV: Multi-dimensions Image Representations and Multi-scale Modeling in MII 14.1 Static 2D and 3D Temporal-Spatial Image Representations 14.2 Dynamic 2D and 3D Temporal-Spatial Image Representations 14.3 High-dimensional Image Representations 14.4 Multi-scale Medical Imaging Informatics Architectures in future Healthcare Systems Reference Textbooks:
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Hawkeye Radiology Informatics (HRI), Medical Imaging HPC & Informatics Lab
Department of Radiology || Carver College of Medicine || The University of Iowa
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